scipy.interpolate.spline을 사용하여 PyPlot 그래프에서 더 부드러운 선을 만드는 방법은 무엇입니까?

<code class="python">import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import spline

# Example data
T = np.array([6, 7, 8, 9, 10, 11, 12])
power = np.array([1.53E+03, 5.92E+02, 2.04E+02, 7.24E+01, 2.72E+01, 1.10E+01, 4.70E+00])

# Set the number of points for smoothing
num_points = 300

# Create a new x-axis with more points
xnew = np.linspace(T.min(), T.max(), num_points)

# Interpolate data using a spline
power_smooth = spline(T, power, xnew)

# Plot the smoothed line
plt.plot(xnew, power_smooth)
plt.show()</code>